Genetic and Environmental Influences on Longitudinal Frailty Trajectories From Adulthood into Old Age

被引:15
作者
Mak, Jonathan K. L. [1 ]
Kuja-Halkola, Ralf [1 ]
Bai, Ge [1 ]
Hassing, Linda B. [2 ,3 ]
Pedersen, Nancy L. [1 ]
Hagg, Sara [1 ]
Jylhava, Juulia [1 ,4 ,5 ]
Reynolds, Chandra A. [6 ]
机构
[1] Karolinska Inst, Dept Med Epidemiol & Biostat, Nobels Vag 12A, S-17165 Stockholm, Sweden
[2] Univ Gothenburg, Dept Psychol, Gothenburg, Sweden
[3] Univ Gothenburg, Ctr Ageing & Hlth, Gothenburg, Sweden
[4] Univ Tampere, Fac Social Sci Hlth Sci, Tampere, Finland
[5] Univ Tampere, Gerontol Res Ctr GEREC, Tampere, Finland
[6] Univ Calif Riverside, Dept Psychol, Riverside, CA 92521 USA
来源
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES | 2023年 / 78卷 / 02期
基金
瑞典研究理事会;
关键词
Deficit accumulation; Latent growth curve; Older adults; Trajectories; Twins; COGNITIVE-ABILITIES; SEX-DIFFERENCES; HEALTH; COHORT; INDEX; COUNTRIES; MODELS; TWINS;
D O I
10.1093/gerona/glac197
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background Frailty is a complex, dynamic geriatric condition, but limited evidence has shown how genes and environment may contribute to its longitudinal changes. We sought to investigate sources of individual differences in the longitudinal trajectories of frailty, considering potential selection bias when including a sample of oldest-old twins. Methods Data were from 2 Swedish twin cohort studies: a younger cohort comprising 1 842 adults aged 29-96 years followed up to 15 waves, and an older cohort comprising 654 adults aged >= 79 years followed up to 5 waves. Frailty was measured using the frailty index (FI). Age-based latent growth curve models were used to examine longitudinal trajectories, and extended to a biometric analysis to decompose variability into genetic and environmental etiologies. Results A bilinear model with an inflection point at age 75 best described the data, indicating a fourfold to fivefold faster FI increase after 75 years. Twins from the older cohort had significantly higher mean FI at baseline but slower rate of increase afterward. FI level at age 75 was moderately heritable in both men (42%) and women (55%). Genetic influences were relatively stable across age for men and increasing for women, although the most salient amplification in FI variability after age 75 was due to individual-specific environmental influences for both men and women; conclusions were largely consistent when excluding the older cohort. Conclusion Increased heterogeneity of frailty in late life is mainly attributable to environmental influences, highlighting the importance of targeting environmental risk factors to mitigate frailty in older adults.
引用
收藏
页码:333 / 341
页数:9
相关论文
共 50 条
[1]   Frailty trajectories in three longitudinal studies of aging: Is the level or the rate of change more predictive of mortality? [J].
Bai, Ge ;
Szwajda, Agnieszka ;
Wang, Yunzhang ;
Li, Xia ;
Bower, Hannah ;
Karlsson, Ida K. ;
Johansson, Boo ;
Aslan, Anna K. Dahl ;
Pedersen, Nancy L. ;
Hagg, Sara ;
Jylhava, Juulia .
AGE AND AGEING, 2021, 50 (06) :2174-2182
[2]   Investigating and Remediating Selection Bias in Geriatrics Research: The Selection Bias Toolkit [J].
Banack, Hailey R. ;
Kaufman, Jay S. ;
Wactawski-Wende, Jean ;
Troen, Bruce R. ;
Stovitz, Steven D. .
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY, 2019, 67 (09) :1970-1976
[3]   DEMONSTRATING THE VALIDITY OF TWIN RESEARCH IN CRIMINOLOGY [J].
Barnes, J. C. ;
Wright, John Paul ;
Boutwell, Brian B. ;
Schwartz, Joseph A. ;
Connolly, Eric J. ;
Nedelec, Joseph L. ;
Beaver, Kevin M. .
CRIMINOLOGY, 2014, 52 (04) :588-626
[4]   Frailty measurement in research and clinical practice: A review [J].
Dent, Elsa ;
Kowal, Paul ;
Hoogendijk, Emiel O. .
EUROPEAN JOURNAL OF INTERNAL MEDICINE, 2016, 31 :3-10
[5]   Risk factors and protective factors associated with incident or increase of frailty among community-dwelling older adults: A systematic review of longitudinal studies [J].
Feng, Zeyun ;
Lugtenberg, Marjolein ;
Franse, Carmen ;
Fang, Xinye ;
Hu, Shanlian ;
Jin, Chunlin ;
Raat, Hein .
PLOS ONE, 2017, 12 (06)
[6]   Processing speed and longitudinal trajectories of change for cognitive abilities: The Swedish Adoption/Twin Study of Aging [J].
Finkel, D ;
Pedersen, NL .
AGING NEUROPSYCHOLOGY AND COGNITION, 2004, 11 (2-3) :325-345
[7]   Epigenetic differences arise during the lifetime of monozygotic twins [J].
Fraga, MF ;
Ballestar, E ;
Paz, MF ;
Ropero, S ;
Setien, F ;
Ballestart, ML ;
Heine-Suñer, D ;
Cigudosa, JC ;
Urioste, M ;
Benitez, J ;
Boix-Chornet, M ;
Sanchez-Aguilera, A ;
Ling, C ;
Carlsson, E ;
Poulsen, P ;
Vaag, A ;
Stephan, Z ;
Spector, TD ;
Wu, YZ ;
Plass, C ;
Esteller, M .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (30) :10604-10609
[8]   Sex differences in frailty: A systematic review and meta-analysis [J].
Gordon, E. H. ;
Peel, N. M. ;
Samanta, M. ;
Theou, O. ;
Howlett, S. E. ;
Hubbard, R. E. .
EXPERIMENTAL GERONTOLOGY, 2017, 89 :30-40
[9]  
Grimm K. J., 2016, GROWTH MODELING STRU
[10]   Tracking changes in frailty throughout later life: results from a 17-year longitudinal study in the Netherlands [J].
Hoogendijk, Emiel O. ;
Rockwood, Kenneth ;
Theou, Olga ;
Armstrong, Joshua J. ;
Onwuteaka-Philipsen, Bregje D. ;
Deeg, Dorly J. H. ;
Huisman, Martijn .
AGE AND AGEING, 2018, 47 (05) :727-733